Application of fuzzy C-means clustering based on principal component analysis in computer forensics

Abstract

Computer forensics is a kind of pragmatic computer technology to obtain survey and analyze the cyber crime. It mainly contains three procedures which are the obtaining, analysis and submitting of evidence. Among them, the analysis is of most importance. Due to the complex and vague characteristic of the practical data, the analysis of evidence has not achieved ideal outcome so far. The thesis applies the principal component analysis (PCA) method and the fuzzy cluster thoughts to attain a more ideal analysis result. © 2012 Springer-Verlag GmbH.